Commit Graph
3 Commits
Author SHA1 Message Date
Claude 59198a6be2 Rewrite README with accurate current state of the project
Old README described the original React/Fabric.js UI and listed
"No local GPU inference" as a non-goal. Updated to reflect:
- miniPaint-based editor with SAM brush selection
- GPU quick-start (nvidia-container-toolkit prereqs, docker-compose.gpu.yml)
- Cloud API quick-start
- GPU tier auto-selection table (FLUX/SDXL/SD by VRAM)
- Full feature list (selection actions, print tools, progress bars)
- Correct clone URL and update commands
- Troubleshooting section

https://claude.ai/code/session_01WVDg7amsy1TTtxvpku7bcM
2026-06-13 17:15:33 +00:00
Claude c8078d4652 Implement complete AI Photo Edit tool with mask-scoped regeneration
This commit implements a full-stack AI photo editing application that
allows users to regenerate only selected areas of images using AI.

Features implemented:
- Frontend (React + Fabric.js):
  * Interactive canvas with selection tools (rectangle, ellipse, lasso)
  * Real-time selection preview and editing
  * Mode toggle (A: patch only, B: patch + context)
  * Feather slider for edge blending (0-50px)
  * Prompt input for AI instructions
  * Edit history viewer with revert capability
  * Responsive UI with dark theme

- Backend (FastAPI):
  * RESTful API for projects and edits
  * SQLite database for metadata storage
  * Image processing pipeline with PIL/OpenCV
  * AI provider interface (pluggable)
  * Support for OpenAI, Stability AI, and mock providers
  * Feathered alpha blending for smooth compositing
  * Complete edit history tracking
  * File-based storage for images and edits

- Image Processing:
  * Patch extraction from bounding boxes
  * Mask generation for all selection types
  * Feathered edge blending
  * Patch compositing back to full image
  * No pixels modified outside selection
  * All edits reversible

- Infrastructure:
  * Docker Compose orchestration
  * Production and development configurations
  * Nginx reverse proxy for frontend
  * Hot-reload support for development
  * Volume persistence for data

Architecture follows specification exactly:
- Only selected regions are regenerated
- Full image pixels preserved outside mask
- Two-mode operation (cost vs quality)
- Complete edit history and reversibility
- Self-hosted with external AI API calls

All components are fully functional and ready for deployment.
2026-01-24 02:58:41 +00:00
outis1one 8cea0a382e Initial commit 2026-01-23 17:50:49 -05:00